MasterCard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment.

Join the industry's most passionate, motivated and engaged global team - Our employees are encouraged to drive innovation every day in support of a more connected world - A World Beyond Cash.

Overview

The Enterprise Security Solutions (ESS) team is responsible for mitigating fraud through the latest versions and enhancements of fraud management products and solutions, which prevent, detect and react to fraud

Additionally, the team's goal is to ensure the integrity of the payment system for fraud management and mitigation products addressing the entire account lifespan.

The Business Leader, Product Development, Fraud Data Strategy and Modeling will be responsible for data strategy and modeling activities that support both new and existing fraud services initiatives within the fraud product development team in Enterprise Security Solutions (ESS), creating real world, real-time products that address these market challenges.

Have you ever brought a product to market on a global scale?

Are you aware of the criticality of increasing adoption of Europay, MasterCard, and Visa (EMV) technology, continued growth of the e-commerce channel and the ongoing convergence of the payment space across the digital and physical worlds?

Is the next step in your career to have an impact on the creation of products that impact this growth in electronic payments?

Role

Drive large, complex global and regional product development efforts. This work will include ongoing enhancements of product suites such as Expert Monitoring Solutions (EMS) and other pending strategic fraud and network intelligence products in support of global and regional market dynamics.

Provide thought leadership and subject matter expertise working closely and iteratively with ESS product management, fraud data analytics and platform architecture teams on definition and execution of fraud data strategy and new real-time analytic products to ensure data and modeling efforts correspond closely to the business objectives.